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This study presents a methodology for evaluating a set of crash-prone sidewalk and crosswalk locations in an urban area with respect to their existing walkability condition and recommending improvement needs. Initially, a set of 15 sidewalk specific and 10 crosswalk specific attributes relevant to India were identified from the literature. Subsequently, the analytical hierarchy process was used to estimate relative weights associated with the attributes from the perspective of relevant experts. A weighted sum method was then used to formulate a Sidewalk Condition Index (SCI) and Crosswalk Condition Index (CCI) for evaluating the condition of the existing pedestrian sidewalks and crosswalk infrastructures. Ten locations across Hyderabad with the highest pedestrian fatalities during the last three calendar years were selected as study locations. The location specific SCI and CCI estimates were used to prioritize the locations with regard to their existing condition and infrastructural requirements. Results indicated that sidewalk attributes such as sidewalk lighting, cleanliness, physical separation of traffic, and traffic speed, and crosswalk attributes such as conflicts with crossing traffic, crosswalk illumination, and intersection control, influenced safety and walkability significantly. Measures such as the provision of exclusive right-of-way for pedestrians, maintaining the sidewalk quality, enforcing no jaywalking, re-design of signal timing with pedestrian phase, and provision of zebra crossings and refuge islands, would improve walkability at pedestrian crash-prone locations across Hyderabad. This proposed methodology and the research findings could act as a critical tool to improve the overall safety and walkability of sidewalks and crosswalks in Indian cities.

Electric two-wheelers (E2W) can help de-carbonize transport in Indian cities. To promote E2W as an attractive alternative compared to the conventional two-wheelers, an investigation on prospective users’ choice decisions is necessary. This paper proposed a comprehensive methodology to evaluate the prospective users’ choice decision toward electric two-wheelers and related attributes in the Indian context. In this paper, attributes such as Operating Cost (OC) savings, top speed, range, charging duration, acceleration, and purchase cost were considered to design a Stated Preference (SP) survey to collect data from prospective E2W users in Hyderabad, India. Concurrently, multinomial logit (MNL) and random parameter logit (RPL) models are developed, and the willingness-to-pay (WTP) associated with each of the identified attributes was estimated. Additionally, the effect of socio-economic characteristics on prospective users’ choice decision was also assessed. Subsequently, a sensitivity analysis was carried out to estimate the relative influence of the attributes on an individual’s choice decision in terms of the shift in probability to choose alternatives with better attribute levels than the base alternative. The results revealed that top speed was perceived as the most important attribute influencing an individual’s choice decision, followed by acceleration and charging duration. Age, income, and journey time significantly influenced an individual’s perception toward E2W and related attributes in the Indian context.